For decades, the solution to harder problems has been ‘build a bigger computer’— but what if this is the wrong strategy altogether? This is because some problems defeat computers, not because they are ...

Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

where the output is not from a fixed vocabulary, but a sequence of pointers to elements from the input. Main idea: Instead of producing an output token from a fixed-size vocabulary, the model points ...

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

Conventional wisdom suggests memories of past experiences can help us navigate problems in the present. For example, if a friend told you they were having a disagreement with their partner, you might ...

Abstract: The innovative combination of analysis of electrical circuits with specialized mathematical software that takes advantages of virtual analysis in electrical engineering training enhances the ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

It’s a common experience for many New York City parents. They sit down to help their kids with math homework, only to be totally flummoxed. Part of the reason is math instruction has undergone a ...